Modern healthcare technology demands more than incremental improvements—it requires fundamental architectural innovation that balances performance, security, and clinical usability. Brevity AI, Inc. has developed a groundbreaking clinical documentation platform that transforms how healthcare professionals interact with patient data, compressing hours of preparation and documentation into minutes via Artificial Intelligence. As Co-Founder and CTO, Purv Rakeshkumar Chauhan designed and implemented the entire software architecture, demonstrating exceptional software engineering capabilities by building a production-grade healthcare system from concept to reality. Engineering a Complex Healthcare Solution: Full-Stack Development Leadership The Brevity AI platform represents a sophisticated technical achievement requiring mastery across the entire software development lifecycle. Purv independently architected and developed the complete system, from initial requirements analysis through production deployment and ongoing maintenance. This comprehensive technical ownership encompasses frontend user interfaces optimized for clinical workflows, backend services processing massive medical datasets, AI/ML pipeline integration for intelligent document analysis, and secure data infrastructure managing sensitive healthcare information. The platform's architecture solves a complex technical challenge: processing hundreds of pages of unstructured medical records in real-time while maintaining HIPAA compliance and clinical accuracy. This necessitated designing scalable data processing pipelines capable of ingesting diverse medical document formats, implementing natural language processing workflows that extract clinically relevant information with precision, and creating intuitive user interfaces that seamlessly integrate into existing clinical workflows. Each architectural decision reflects careful consideration of healthcare's unique technical constraints—from latency requirements for real-time transcription to data residency requirements for patient privacy. Advanced System Architecture: Building for Healthcare Scale The technical architecture of Brevity AI demonstrates sophisticated software engineering principles applied to healthcare's demanding requirements. The system implements a microservices-based architecture that enables independent scaling of compute-intensive AI processing, document parsing, and real-time transcription services. This modular design allows the platform to handle variable workloads—from processing extensive patient histories during visit preparation to managing real-time documentation during patient encounters—without performance degradation. Purv's implementation includes advanced caching strategies that optimize response times for frequently accessed patient data, asynchronous processing queues that manage resource-intensive document analysis tasks, and intelligent load balancing that ensures consistent performance across clinical environments. The platform's data layer employs optimized database schemas specifically designed for medical record structures, enabling sub-second query performance even when analyzing patient histories spanning decades with hundreds of documents. The platform's data layer employs optimized database schemas specifically designed for medical record structures, enabling sub-second query performance even when analyzing patient histories spanning decades with hundreds of documents. Real-Time AI Integration: Technical Innovation in Clinical Documentation The platform's real-time documentation capabilities showcase sophisticated software engineering in AI integration. Purv architected a speech-to-text pipeline for recognizing medical terminology in clinical conversations. This system processes audio streams in real-time, implementing advanced noise reduction algorithms that filter ambient noise in clinical environments while preserving conversational clarity. The AI-powered note generation system represents particularly complex technical work—transforming unstructured conversations into structured clinical notes requires sophisticated natural language understanding, medical entity recognition, and template generation algorithms. Purv designed this pipeline to process extended patient conversations (often 20-30 minutes) and generate concise, standards-compliant clinical notes within seconds after the conversation concludes. The system employs intelligent chunking strategies to manage long conversations, contextual analysis to maintain clinical coherence across conversation segments, and validation algorithms ensuring generated notes meet documentation standards. Visit Preparation Intelligence: Processing Complex Medical Histories The platform's visit preparation capabilities solve one of healthcare's most time-consuming challenges through advanced document processing architecture. By analyzing a patient's complete medical history—often 300+ pages spanning multiple healthcare systems—the system extracts clinically relevant information, identifies key medical conditions and trends, synthesizes laboratory results across different formats, and presents findings in a clinically useful format. Purv engineered a multi-stage processing pipeline that handles this complexity: document ingestion and format normalization for diverse medical record types, intelligent page analysis using computer vision to identify document types, natural language extraction of clinical entities and relationships, temporal analysis to track condition progression and treatment outcomes, and intelligent summarization that prioritizes information by clinical relevance. This pipeline processes massive document sets in minutes, a task that traditionally requires hours of manual review. Security-First Development: Integrating Compliance into Architecture While Purv's cybersecurity background provides foundational expertise, the platform's security implementation demonstrates how security principles translate into practical software architecture. Rather than treating security as an afterthought, the system implements security-by-design principles throughout the technical stack. This includes implementing a Zero Trust Architecture requiring authentication and authorization at every system boundary, designing data encryption protocols for data at rest and in transit, architecting audit logging systems that track all data access for compliance reporting, and building automated security testing into the continuous integration pipeline. The HIPAA compliance framework extends beyond security to encompass comprehensive technical controls: data retention policies enforced through automated lifecycle management, access control mechanisms with role-based permissions at granular levels, and automated compliance reporting systems that generate audit trails for regulatory review. These technical implementations ensure the platform meets healthcare's stringent regulatory requirements while maintaining the performance necessary for clinical workflows. Measurable Platform Impact: Technical Achievement Driving Clinical Outcomes The platform's technical sophistication translates directly into measurable healthcare improvements. Reducing visit preparation time from hours to minutes demonstrates the document processing pipeline's efficiency. The elimination of after-hours documentation through real-time transcription showcases the speech processing system's accuracy and reliability. Improved clinical accuracy from AI-assisted summarization validates the natural language processing algorithms' effectiveness. These outcomes reflect successful software engineering—building systems that solve real problems through technical excellence. From Concept to Production: Complete Development Lifecycle Management Purv's responsibilities encompass the entire development process—defining technical requirements through collaboration with clinicians, designing system architecture and selecting appropriate technology stacks, implementing features through hands-on software development, conducting comprehensive testing including unit, integration, and end-to-end validation, managing production deployment and monitoring system performance, and iterating based on user feedback and performance metrics. This comprehensive technical ownership ensures cohesive architecture where every component serves the platform's clinical mission. Technical Foundation Enabling Healthcare Innovation Brevity AI's platform represents a significant software engineering achievement—a production-grade healthcare system built through exceptional architectural design and development expertise. Purv Rakeshkumar Chauhan's comprehensive technical leadership, spanning from low-level implementation details to high-level system architecture, has created a platform that fundamentally improves clinical workflows through intelligent automation. With his strong foundation in security research and academic excellence from Arizona State University informing the platform's robust security architecture, Purv continues advancing healthcare technology through software engineering innovation that prioritizes both technical excellence and clinical utility. About Purv Rakeshkumar Chauhan Purv Rakeshkumar Chauhan serves as Co-Founder and CTO of Brevity AI, Inc., where he leads all aspects of software development and system architecture for the company's clinical documentation platform. With academic credentials from Arizona State University and a foundation in cybersecurity research, including DARPA-funded projects, he brings comprehensive technical expertise to healthcare AI development. As the architect and principal developer of the Brevity AI platform, Purv demonstrates exceptional software engineering capabilities across the full technology stack, from user interface design to backend infrastructure, security implementation, and AI/ML integration. This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program. This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program. This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program. HackerNoon’s Business Blogging Program HackerNoon’s Business Blogging Program
